Top Senior Data & Analytics Jobs

Develop and validate recurring and ad hoc reports, dashboards, scorecards, and analyses for a federal Health IT modernization initiative. Responsibilities include gathering reporting requirements, defining metrics and business rules, extracting and reconciling data, conducting data-quality checks, documenting reporting processes, investigating discrepancies, streamlining approved workflows, supporting testing, and communicating trends to stakeholders. The role also coordinates with technical and analytical teams and prepares supporting analyses for audits and government inquiries.

Analyze and model property catastrophe reinsurance treaties using catastrophe modeling platforms. Prepare and validate exposure data, execute models, interpret risk metrics, develop scenarios, and identify portfolio risk drivers. Support underwriting, actuarial pricing, placement, renewals, and management decisions through clear reporting. Participate in model validation, calibration, research, and development while collaborating with underwriters, actuaries, and other stakeholders.

Designs and maintains scalable batch and real-time data pipelines, reusable data models, and foundational datasets for Slack’s enterprise customers. The role optimizes schemas, SQL, ETL workflows, and data warehouse environments while establishing governance, documentation, SLAs, and engineering best practices. It partners with product, analytics, business, and engineering teams and contributes to GovSlack initiatives supporting regulated organizations.

Roku seeks a Senior Data Engineer to develop scalable data pipelines, optimize data quality, and maintain big data platforms, requiring extensive SQL and Python knowledge.

Leads commercial insurance portfolio analytics, executive reporting, performance monitoring, forecasting, product strategy, pricing analysis, and competitive intelligence. Partners with senior stakeholders to identify risks and growth opportunities, translate complex data into recommendations, and support profitable decisions. Manages analytical initiatives, product development changes, and cross-functional programs while leading and developing team members and fostering data-informed decision-making.

Analyze complex operational, strategic, and organizational issues for Navy Medicine leadership. Develop quantitative and qualitative methodologies, identify trends, risks, gaps, and opportunities, evaluate alternatives, and translate findings into actionable recommendations. Create dashboards, spreadsheets, reports, presentations, charts, and other decision-support products. Collaborate with government stakeholders, validate analytical outputs, and communicate insights clearly to technical and non-technical audiences.

Designs and maintains financial data models, analytical pipelines, metrics, datasets, reports, dashboards, and self-service analytics tools. Performs statistical, predictive, exploratory, and financial analyses using large-scale cloud data platforms. Partners with stakeholders to translate business questions into analytical solutions, collaborates with engineering on data integration, and develops analytical code using Python, Java, SQL, and YAML.

Own marketing analytics across paid media, ecommerce, lifecycle, retention, Amazon, and DTC channels. Build source-of-truth dashboards, measure CAC, ROAS, conversion, and channel contribution, and develop incrementality tests and media mix models. Partner with Growth, Product, and Finance on experimentation, forecasting, budget allocation, and membership economics. Translate complex analyses into actionable recommendations for executives while maintaining accurate warehouse-based reporting and identifying performance opportunities.

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.